Async PostgreSQL

AsyncPostgresDb stores Agent, Team, and Workflow sessions, memories, knowledge, evaluations, and traces asynchronously in PostgreSQL.

Usage

Start in a virtual environment and set the model key before running the example.

Set OpenAI Key

Set your OPENAI_API_KEY as an environment variable. You can get one from OpenAI.

export OPENAI_API_KEY=sk-***

Install the sqlalchemy, psycopg, and openai packages:

uv pip install agno "sqlalchemy[asyncio]" "psycopg[binary]" openai

async_postgres_for_agent.py

from agno.agent import Agent
from agno.db.postgres import AsyncPostgresDb

db_url = "postgresql+psycopg_async://ai:ai@localhost:5532/ai"

db = AsyncPostgresDb(db_url=db_url)
agent = Agent(db=db)

Use async methods such as Agent.arun() and Agent.aprint_response() with this database.

Run PostgreSQL

Install Docker Desktop, then start PostgreSQL with pgvector on port 5532:

docker run -d \
  -e POSTGRES_DB=ai \
  -e POSTGRES_USER=ai \
  -e POSTGRES_PASSWORD=ai \
  -e PGDATA=/var/lib/postgresql \
  -v pgvolume:/var/lib/postgresql \
  -p 5532:5432 \
  --name pgvector \
  agnohq/pgvector:18

Parameters

Parameter	Type	Default	Description
`id`	`Optional[str]`	-	The ID of the database instance. UUID by default.
`db_url`	`Optional[str]`	-	The database URL to connect to.
`db_engine`	`Optional[AsyncEngine]`	-	The SQLAlchemy async database engine to use.
`db_schema`	`Optional[str]`	-	The database schema to use.
`session_table`	`Optional[str]`	-	Name of the table to store Agent, Team and Workflow sessions.
`runs_table`	`Optional[str]`	-	Name of the table to store the runs of each session.
`memory_table`	`Optional[str]`	-	Name of the table to store memories.
`metrics_table`	`Optional[str]`	-	Name of the table to store metrics.
`eval_table`	`Optional[str]`	-	Name of the table to store evaluation runs data.
`knowledge_table`	`Optional[str]`	-	Name of the table to store knowledge content.
`traces_table`	`Optional[str]`	-	Name of the table to store traces.
`spans_table`	`Optional[str]`	-	Name of the table to store spans.
`versions_table`	`Optional[str]`	-	Name of the table to store schema versions.
`components_table`	`Optional[str]`	-	Name of the table to store components.
`learnings_table`	`Optional[str]`	-	Name of the table to store learnings.
`schedules_table`	`Optional[str]`	-	Name of the table to store cron schedules.
`schedule_runs_table`	`Optional[str]`	-	Name of the table to store schedule run history.
`job_table`	`Optional[str]`	-	Name of the table to store durable background run jobs.
`approvals_table`	`Optional[str]`	-	Name of the table to store human approval requests.
`auth_tokens_table`	`Optional[str]`	-	Name of the table to store OAuth tokens for external services.
`service_accounts_table`	`Optional[str]`	-	Name of the table to store service accounts.
`create_schema`	`bool`	`True`	Whether to create the database schema if it doesn't exist. Set to `False` when the schema is managed externally.

Usage

Set OpenAI Key

Run PostgreSQL

Parameters

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